This study examines the risk of malaria, leishmaniasis, and scabies following earthquakes in southeastern Türkiye. The focus is on the impact on the local population and Syrian immigrants. Recommendations for prevention include vector control measures such as indoor residual spraying and distribution of insecticidal nets. Surveillance and early detection through rapid diagnostic tests and active case finding are important. Public awareness campaigns and community engagement are crucial for promoting protective measures. Strengthening healthcare infrastructure, providing essential supplies, and capacity building is essential. For leishmaniasis, early detection and treatment, vector control, health education, and community engagement are vital. Scabies outbreaks affect the socioeconomically depressed local population and Syrian immigrants. Early detection, treatment, contact tracing, health education, hygiene promotion, and improved living conditions are necessary. Implementing these interventions and strategies can effectively prevent, control, and manage these diseases. Tailoring approaches to the specific context and needs of affected communities is crucial. By addressing these challenges, we can protect the health and well-being of the affected population.
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http://dx.doi.org/10.4274/tpd.galenos.2023.26122 | DOI Listing |
Anal Chem
January 2025
Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Applications of Ministry of Education, Hunan Provincial University Key Laboratory for Environmental and Ecological Health, College of Chemistry, Xiangtan University, Xiangtan 411105, P.R. China.
The challenge of "false positive" signals significantly complicates tumor localization and surgical resection, which are pivotal for successful tumor surgeries. Therefore, the development of a method for preoperative tumor localization and intraoperative margin determination holds considerable promise for improving surgical outcomes. In this study, a zero-crosstalk ratiometric tumor-targeting near-infrared (NIR) fluorescent probe was developed for precise cancer diagnosis and intraoperative navigation via NIR fluorescence imaging.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Parkinson's Disease (PD) is a neurodegenerative disorder that is often accompanied by slowness of movement (bradykinesia) or gradual reduction in the frequency and amplitude of repetitive movement (hypokinesia). There is currently no cure for PD, but early detection and treatment can slow down its progression and lead to better treatment outcomes. Vision-based approaches have been proposed for the early detection of PD using gait.
View Article and Find Full Text PDFPLoS One
January 2025
Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States of America.
Background: Early initiation of treatment for lung cancer has been shown to improve patient survival. The present study investigates disparities in time to treatment initiation of invasive lung cancer within and between Black and White patients in Tennessee.
Methods: A population-based registry data of 42,970 individuals (Black = 4,480 and White = 38,490) diagnosed with invasive lung cancer obtained from the Tennessee Cancer Registry, 2005-2015, was analyzed.
PLoS One
January 2025
Department of Clinical Laboratory, Suzhou Ninth People's Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China.
Objective: There is no evidence to suggest that an association exists between the remnant cholesterol (RC) to high-density lipoprotein cholesterol (HDL-C) ratio and gestational diabetes mellitus (GDM). In this study, the RC/HDL-C ratio during the first trimester was examined as a potential indicator of the onset of GDM during the second trimester.
Methods: This was a secondary analysis of data from a Korea-based prospective cohort study.
PLoS One
January 2025
Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.
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